People Data Labs Review 2026: Is This B2B Data Infrastructure Right for You?

People Data Labs sells raw person and company data to developers who build their own products on top of it. With 1.5 billion unique person profiles and 74 million company profiles delivered through APIs and bulk data feeds, PDL positions itself not as a tool you use, but as infrastructure you build on. That distinction matters more than any feature list.

To write this People Data Labs review, we analyzed the platform in detail. We believe it's the right choice if:

• You're a developer or data engineer building a data-reliant product

• You need raw, structured B2B data delivered through APIs or bulk feeds

• You want per-match pricing instead of per-seat subscriptions

• You're comfortable writing code to access and use your data

• Your team builds its own applications rather than buying off-the-shelf tools

However, People Data Labs is not a good choice if:

• You need a ready-to-use interface for prospecting, outreach, or account research

• You want intent signals that reveal when companies are actively in-market

• Your sales or marketing team needs to search contacts and act on them directly

• You require conversation intelligence, deal tracking, or pipeline management

• You need a platform that connects data to execution without engineering work

In this case, you should consider ZoomInfo: an all-in-one AI GTM Platform built on 500M contacts, 100M companies, 135M+ verified phone numbers, 120M direct-dial phone numbers, and 200M+ verified business email addresses. That data fuels ZoomInfo's GTM Context Graph, an intelligence layer that unifies your CRM records, conversation transcripts, and behavioral signals with the 1.5B+ data points ZoomInfo processes daily. It captures why deals move or stall, so the AI drafting your next follow-up understands the concern behind the conversation, your next play targets accounts matching your actual win patterns, and your next forecast reflects buying evidence rather than rep optimism. Your team can use this intelligence through GTM Workspace for sellers, GTM Studio for marketers and RevOps, or APIs and MCP in any front-end.

We've included a detailed look at ZoomInfo at the end of this People Data Labs review. If you want to see how an all-in-one platform compares, you can start a free trial of ZoomInfo here.

What is People Data Labs?

People Data Labs is a B2B data provider founded in 2015 by Sean Thorne and Henry Nevue in San Francisco. The founding mission: give engineers, developers, and data scientists access to structured workforce and company data.

The company's tagline captures its positioning: "We build workforce data, so you don't have to."

PDL is not a sales tool, a CRM, or an end-user application. It's a data infrastructure layer that powers other companies' products. Its customers include platforms like Clay, Hire Ez, SeekOut, S&P Global, and Insight Partners, all of which embed PDL data into their own software.

PDL raised $45M in a Series B led by Craft Ventures in November 2021, bringing total funding to roughly $47.2M at a $300M pre-money valuation. In August 2025, the founding CEO and President stepped down, and Ben Eisenberg (a seven-year veteran described as a "third founder") took over as CEO.

The platform's core datasets are Person Data (1.5 billion unique profiles covering employment history, contact information, education, and skills) and Company Data (74M+ company profiles with firmographic and workforce attributes). A Job Posting Data product is in beta. All data ships through APIs or bulk data licenses via AWS, GCP, Snowflake, and Databricks.

People Data Labs Pros & Cons

People Data Labs Review: How it Works & Key Features

Person Data: PDL's core dataset covers 1.5 billion unique profiles with structured employment, education, and contact fields.

Person Data is PDL's foundation. The dataset spans nearly three billion individual records, de-duplicated down to 1.5 billion unique profiles. PDL tracks over 300 million job updates with 17 million job changes globally per quarter, keeping employment records current.

Each person profile includes identity fields (name, aliases, persistent ID), contact information (emails, phone numbers, addresses), full work history (company, title, dates, location, industry), education (schools, degrees, majors, GPA), social profiles (LinkedIn, GitHub, Twitter), and demographic data (location with geo coordinates, languages, skills, certifications). The full schema includes normalized job title taxonomy with role, sub-role, class, and level classifications, plus ONET codes and inferred salary.

Source: Person Data Labs

PDL refreshes its data through quarterly major releases and monthly intermediate updates. In April 2024, mobile phone coverage tied to LinkedIn profiles increased 200% through new data partnerships, and education data expanded considerably.

PDL builds this dataset using a proprietary data build process that combines deterministic and probabilistic de-duplication with hand-checking and unit testing at each cycle. The same Cleaner APIs that customers use for data standardization run internally during data processing.

Company Data: Workforce-derived company attributes for 74M+ companies, including headcount time-series and talent flow analytics.

PDL's Company Data covers over 74 million company profiles, but what sets it apart is how it's built. Rather than relying on company self-reporting, PDL derives firmographic and workforce attributes by aggregating signals from individual-level professional records. Employee counts come from actual resume data, not LinkedIn's approximated ranges.

The company schema covers several tiers. Basic firmographics include type, size, industry (with NAICS/SIC codes), location, and founding year, with 90% location coverage and 75% industry coverage. Headcount analytics include monthly time-series data broken down by level and by role, along with pre-computed growth rates and churn rates at 3, 6, 12, and 24-month windows.

Source: People Data Labs

Talent flow fields track where employees came from and where they go, plus recent executive hires and departures. Parent-subsidiary hierarchy data includes relationship catalyst, status, dates, and supporting press release URLs.

A free dataset of 22M+ companies is available for download under a Creative Commons CC BY 4.0 license, updated quarterly.

APIs & Data Delivery: A developer-first platform with five API families, dual query syntax, and multiple bulk delivery methods.

Every interaction with PDL is programmatic. The platform offers a REST-based API at v5, authenticated via API key, with responses in JSON.

The API lineup includes Person Enrichment (one-to-one lookup), Search (query across the full dataset), Identify (fuzzy multi-match returning up to 20 ranked candidates), Bulk Enrichment (up to 100 records per request), and a Changelog API for tracking record changes over time. Company equivalents exist for Enrichment, Bulk Enrichment, and Search. An IP Enrichment API matches IPv4/IPv6 addresses to company and person signals.

Supporting APIs include Autocomplete (typeahead suggestions), Cleaner (company, location, and school normalization), and Job Title Enrichment (raw title to structured metadata). Both Autocomplete and Cleaner are free for all customers.

Source: People Data Labs

Search APIs support both Elasticsearch DSL and SQL query syntax, giving developers flexibility in how they build queries. Sandbox APIs return synthetic data with identical structure at zero credit cost, so developers can test integrations before committing spend. Preview APIs let developers check results before consuming credits.

For bulk access, PDL delivers data via S3, Snowflake, Azure Blob Storage, GCP Bucket, and direct download, with delta files for incremental updates. SDKs are available in Python, JavaScript, Ruby, Go, and Rust, plus a React component for Autocomplete.

Pricing: Credit-based, per-match billing that charges only for successful lookups.

PDL uses a credit-based, usage-based model. The principle is simple: pay per match, not per request. Failed lookups consume no credits. One credit equals one successful enrichment or one profile returned from a search.

The Free Plan provides 100 monthly credits with no credit card required, but contact data fields (work email, personal emails, phone numbers, mobile phone, granular locations) are returned as True/False flags rather than actual values. Rate limits sit at 10 requests/minute for Person Identify API and 100 requests/minute for Person Enrichment.

The Pro Plan is self-serve and requires a minimum $100/month commitment for full field access. It includes 1,000 free Person Search credits per month (12,000/year on annual billing) and higher rate limits of up to 1,000 requests/day. Per-credit pricing decreases with volume across three tiers, though exact per-credit prices are not published.

The Enterprise Plan adds a dedicated support team including a Customer Success Manager, Solutions Engineer, Data Consultant, and Integration Architect. Unused credits carry over up to 100% of the next period's allocation.

Person and company data are priced separately.

Source: People Data Labs

Where People Data Labs Falls Short

People Data Labs is a focused product built for a specific buyer. Its limitations follow directly from choosing to be data infrastructure rather than an end-user platform.

No User Interface. PDL has no prospecting screen, no contact browser, no account dashboard. Everything goes through API calls or data feeds. A sales rep who wants to find contacts at a target account cannot use PDL directly. They need a product built on top of it (like Clay or Hire Ez) or engineering resources to build internal tools. The API Dashboard handles account management and usage tracking, but it's not a data exploration interface.

No Intent or Buying Signals. PDL provides static profile and company data. It does not track which companies are researching solutions, visiting competitor websites, or showing buying behavior. For go-to-market teams that need to prioritize accounts by purchase readiness, this is a real gap. Timing matters in sales, and PDL offers no signal layer.

Free Plan Is Functionally a Preview. The 100 monthly credits are modest, but the real limitation is that contact data fields are obfuscated on the free plan, returned as True/False indicators rather than actual values. You can confirm that an email exists for a person, but you can't see it. This makes pre-purchase quality validation difficult, since the fields most buyers care about (emails, phone numbers) stay hidden until they commit to $100/month.

No Email Deliverability Validation. PDL provides email addresses but does not verify whether they'll deliver. Bounce detection requires a third-party tool (PDL suggests Bouncer). Teams running outreach campaigns risk damaging sender reputation by sending to unverified emails, so an additional tool and cost is necessary.

Engineering Required for Every Use Case. Because there's no UI, every workflow requires code. Enriching a CRM, building a prospect list, or monitoring company headcount changes all require API integration work. PDL provides SDKs in five languages and integrations with Zapier and Make for no-code use cases, but the platform assumes a technical buyer.

Source: People Data Labs

Job Posting Data Still in Beta. The Job Posting Data product covers "60k+ companies in the investible universe", which is useful for investment research but lacks the breadth needed for general go-to-market use.

These are design choices, not failures. PDL chose depth and flexibility for technical buyers over accessibility for broader teams. But they create a clear gap for organizations where sales reps, marketers, and revenue operations need to act on data without writing code, and where timing signals matter as much as the data itself.

Top People Data Labs Alternative for Go-to-Market Teams: ZoomInfo

ZoomInfo addresses PDL's limitations by providing not just data, but the intelligence and execution layers that turn data into revenue. Where PDL sells raw materials to builders, ZoomInfo is an all-in-one AI GTM Platform that delivers data, signals, and AI tools to the people who run sales, marketing, and revenue operations.

The data foundation: 500M contacts, 100M companies, 135M+ verified phone numbers, 120M direct-dial phone numbers, and 200M+ verified business email addresses. But what ZoomInfo builds on top of that data is what separates it from a data provider.

The GTM Context Graph: The intelligence layer that connects data to deal outcomes.

ZoomInfo's GTM Context Graph processes 1.5B+ data points daily, fusing ZoomInfo's B2B data with a customer's CRM records, conversation transcripts, email interactions, and behavioral signals into a single intelligence layer. The result: AI that captures not just what happened in a deal, but why it happened.

PDL can tell you a person's job title, company, and email address. ZoomInfo's GTM Context Graph connects that person to their buying committee, correlates their activity with intent signals showing the company is researching solutions, surfaces past call transcripts that reveal specific objections, and identifies patterns from thousands of similar deals that predict what happens next.

This intelligence requires years of investment across data, conversation capture, and signal processing, built on two decades of data unification work.

Source: ZoomInfo

Buyer Intent and Signals: Know when accounts are actively in-market.

ZoomInfo Intent tracks signals from 210 million IP-to-Organization pairings and 6 trillion+ new keyword-to-device pairings sourced monthly. Guided Intent, exclusive to ZoomInfo, identifies topics historically correlated with deal success rather than requiring manual topic selection.

WebSights resolves anonymous website traffic to companies, identifying buying team members with direct contact information. The system includes Automatic Traffic Filtering to separate real company visits from bot traffic.

PDL offers no equivalent. For go-to-market teams, the difference between a static database and a signal-enriched platform is the difference between cold outreach and reaching a prospect while they're evaluating solutions.

Source: ZoomInfo

Native Applications: Ready-to-use tools for sellers, marketers, and RevOps.

ZoomInfo provides three ways to access the same intelligence layer:

GTM Workspace gives sellers a single screen where prioritized accounts, AI-drafted outreach, deal context, and CRM updates converge. AI agents handle account research, signal monitoring, and outreach drafting. Seismic's sales team reported 54% productivity gains and 11.5 hours saved per week using ZoomInfo.

GTM Studio gives marketers and RevOps a builder environment where audience definition, campaign orchestration, and pipeline measurement happen through natural language rather than engineering tickets. Expansion plays that used to take three weeks now launch in 30 minutes.

Source: ZoomInfo

For teams that prefer to build their own tools, APIs and MCP expose the same intelligence to any custom agent, internal tool, or partner platform. ZoomInfo MCP is listed in the Claude directory and connects AI models to ZoomInfo's B2B data through natural language. API access is included in all relevant plans.

This means ZoomInfo serves both PDL's core buyer (technical teams building data pipelines) and the go-to-market professionals PDL cannot reach directly.

Data Quality at Scale: Multi-source verification with 300+ human researchers.

ZoomInfo's data pipeline aggregates from four source categories: automated ML scanning of 28 million site domains daily, third-party partner data covering 95 million businesses, a community of 200,000+ ZoomInfo Lite users who share business contact info back into the system, and an in-house Data Training Lab of 300+ human researchers. First-party data reaches up to 95% accuracy.

Outside parties have validated this process.

In a Fortune 500 competitive RFP analyzing 25 million contacts across vendors, the independent consultant concluded that "no other competitor came even close." ZoomInfo has been named a Leader in the Gartner Magic Quadrant for ABM Platforms for two consecutive years and a Leader in the Forrester Wave for Intent Data Providers.

Pricing: Custom-quoted with a permanent free tier.

ZoomInfo uses a custom-quoted, seat-and-credit-based subscription model. Plans are organized into Sales, Marketing, and add-on products, each with tiered feature access (Professional, Advanced, Enterprise).

ZoomInfo Lite is a permanent free tier (not a trial) that includes access to ZoomInfo's B2B database with 10 monthly export credits, individual and company searches with advanced filters, the ReachOut Chrome Extension, and WebSights Lite with up to 10 website visitor reveals per day. A separate 7-day free trial provides broader access to core features. Neither requires a credit card.

People Data Labs or ZoomInfo: Comparison Summary

Final Verdict

The choice between People Data Labs and ZoomInfo depends on what you're building and who uses the data.

Choose People Data Labs if you're a technical team building a data-reliant product and need raw, structured B2B data delivered through APIs or bulk feeds.

PDL is built for developers who want to embed person and company data into their own software: AI recruiting platforms, CRM enrichment tools, investment research models, or audience generation engines. Its per-match pricing, detailed person schema, and workforce-derived company analytics make it a strong choice for teams with the engineering resources to build on raw data and no need for a user-facing interface, intent signals, or go-to-market execution tools.

Explore People Data Labs here.

Choose ZoomInfo if your organization needs B2B data connected to an intelligence layer with access for every team.

ZoomInfo serves the full go-to-market organization: sales reps who find and reach buyers through GTM Workspace, marketers who build and activate audiences through GTM Studio, and technical teams who tap the same intelligence through APIs and MCP. The GTM Context Graph connects this data to buyer intent signals, conversation intelligence, and deal context so your team can move from identifying a prospect to acting on a signal without switching tools or writing code.

Get started with ZoomInfo here.

PDL and ZoomInfo occupy different layers of the B2B data market. PDL is infrastructure for builders. ZoomInfo is a platform for the teams those builders serve. If your job is constructing data pipelines, PDL gives you the raw materials. If your job is generating revenue, ZoomInfo gives you the data, the intelligence, and the tools to act.